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IWTomics: testing high-resolution sequence-based "Omics" data at multiple locations and scales

  • Marzia A Cremona
  • , Alessia Pini
  • , Fabio Cumbo
  • , Kateryna D Makova
  • , Francesca Chiaromonte
  • , Simone Vantini
  • Pennsylvania State University
  • Roma Tre University
  • Polytechnic University of Milan

Research output: Contribution to journalArticlepeer-review

Abstract

With increased generation of high-resolution sequence-based “Omics” data, detecting statistically significant effects at different genomic locations and scales has become key to addressing several scientific questions. IWTomics is an R/Bioconductor package (integrated in Galaxy) that, exploiting sophisticated Functional Data Analysis techniques (i.e. statistical techniques that deal with the analysis of curves), allows users to pre-process, visualize and test these data at multiple locations and scales. The package provides a friendly, flexible and complete workflow that can be employed in many genomic and epigenomic applications.
Original languageEnglish
Pages (from-to)2289-2291
Number of pages3
JournalBioinformatics
Volume34
DOIs
Publication statusPublished - 2018

Keywords

  • Bioconductor
  • Inference
  • Interval-Wise Testing
  • Omics

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